will.anderson
f7bd99ae45
Three improvements from today's self-review: 1. ENGRAM_BREAKTHROUGH_WEIGHT 0.25→0.10 Live data showed 524/525 WM nodes at breakthrough floor (0.25). Knowledge nodes promoted at 0.21 decayed to 0.147 in one call, fell below the old 0.25 floor, and were immediately evicted for fresh breakthrough candidates. Natural promotion was invisible. Invariant maintained: 0.10 < all per-type thresholds (min=0.15 Canonical). 2. ENGRAM_WM_CAP=24 with Pass 4 (per-call) + Pass 5 (global) enforcement Without a cap, broad queries like 'knowledge' promote 525+ nodes simultaneously. WM is now bounded to 24 nodes. Algorithm: qsort on promoted weights, keep top-24 by cutoff, evict the rest. Global pass enforces cap across nodes that were promoted in prior calls and persist via working_memory_weight. Validated: WM promoted goes 525→24. Cognitive basis: Cowan (2001) WM ~4 chunks; 24 gives richer multi-topic context while preventing flooding. 3. ISE exclusion from WM + /api/neuron/state-events route InternalStateEvent nodes were reaching WM via breakthrough (5 suppression cycles) because their content (curiosity seed JSON with 'knowledge', 'memory', etc.) triggered lexical seeding. ISEs are observability-only and must never surface in context. Fix: guard in Pass 2 clears suppression_count and skips to wm_weights[i]=0.0. Also added POST /api/neuron/state-events route to server.el (auth-exempt, internal endpoint). The main soul daemon posts ISEs here but the route was missing — all ise_post() calls were silently returning 'not found'. Research: SYNAPSE (arXiv 2601.02744) validates spreading factor 0.8 (our 0.7), top-M WM cap design, and cosine similarity seeding. Next priority: implement cosine similarity initial seeding from the other branch.